Implementation of the LandTrendr Algorithm on Google Earth Engine
The LandTrendr (LT) algorithm has been used widely for analysis of change in Landsat spectral time series data, but requires significant pre-processing, data management, and computational resources, and is only accessible to the community in a proprietary programming language (IDL). Here, we introdu...
Main Authors: | Robert E Kennedy, Zhiqiang Yang, Noel Gorelick, Justin Braaten, Lucas Cavalcante, Warren B. Cohen, Sean Healey |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/5/691 |
Similar Items
-
Demystifying LandTrendr and CCDC temporal segmentation
by: Valerie J. Pasquarella, et al.
Published: (2022-06-01) -
Continuous Monitoring of Urban Land Cover Change Trajectories with Landsat Time Series and LandTrendr-Google Earth Engine Cloud Computing
by: Theodomir Mugiraneza, et al.
Published: (2020-09-01) -
Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm
by: Xiong Yin, et al.
Published: (2022-11-01) -
Mapping Annual Land Disturbance and Reclamation in a Surface Coal Mining Region Using Google Earth Engine and the LandTrendr Algorithm: A Case Study of the Shengli Coalfield in Inner Mongolia, China
by: Wu Xiao, et al.
Published: (2020-05-01) -
Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices
by: Dean Qiu, et al.
Published: (2023-05-01)